114 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Germany
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. Literature describes mathematical models to predict these currents based on network theory and difference equations. The goal of this internship is to implement such a model in Python, validate it against
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. Numerical models of varying complexity and different observational data sets are used to study atmospheric processes and phenomena on time scales ranging from single weather events to long term climate change
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(potentially integrated with a robotic head) for cell contact and impedance measurement Analysis and preprocessing of EIS data Integration and deployment of an existing ML model (e.g., as a Python module, API
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the future. Here’s how you’ll make a difference: Collaborative research centers (SFBs) are the "Champions League" of the DFG-funded projects (Deutsche Forschungsgemeinschaft). They run for up to 12 years and
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architectures Analysis and preprocessing of different data types (texts, images,etc.) Review latest literature and data Orchestration and documentation of deep learning experiments Processing and visualization
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | about 10 hours ago
workflows Deep understanding of machine learning algorithms and modern deep learning fundamentals Excellent programming skills in Python and PyTorch Practical experience with transformer architectures and
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framework Extension of existing 0D lumped PINN and mechanistic models and direct comparison with these approaches Investigation of different separation geometries and analysis of how temperature, phase
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the future. Here’s how you’ll make a difference: Collaborative research centers (SFBs) are the "Champions League" of the DFG-funded projects (Deutsche Forschungsgemeinschaft). They run for up to 12 years and
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planning and conducting Zeppelin-based airborne field campaigns over European cities Perform VOC flux measurements in 2026 and compare urban emissions across different cities worldwide Work with the CHARON
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for museums, archives and libraries (e.g. LIDO, CIDOC CRM, Dublin Core, EAD, RDF, SPARQL, JSON-LD) Knowledge of techniques and programming languages relevant to the analysis of research data (e.g. SQL, Python